Research on Intelligent Evaluation Mechanism Enabling Four-Dimensional Experimental Ability Student Portrait

Abstract

Since the new era, how to combine engineering experimental courses with intelligent technology is becoming a key educational topic, and also a new requirement for the development of education and teaching theories in the new era. The organization of the course is optimized for the problems existing in the computer organization experimental course. By mining four primary indicators of students' functionality, extensibility, integrality and innovative and eight secondary indicators in the learning data as the evaluation indexes of students' ability, and constructing student portraits based on student data. Using principal component analysis, K-means clustering algorithm and radar chart, three types of student portraits are presented visually. The student portraits not only present the experimental ability of each student group, but also help teachers analyze the common problems of students, which helps teachers make teaching interventions to improve students' learning efficiency and effectiveness.